StrategyQuant Review -Creating Advanced Trade Strategies
StrategyQuant is a revolutionary platform for generating and backtesting automated strategies for trading Forex, equities, ETFs, and more. It requires no programming skills or specialized trading knowledge.
💻 Introducing StrategyQuant
The platform enables strategy building through a combination of tools such as prices, indicators, price patterns, oscillators, order types, and time values (like time of day or day of the week). These parameters, known as ‘Building Blocks,’ are combined using logical operators to create entry and exit rules.
StrategyQuant also offers a wide range of ready-to-use strategies for various financial markets and timeframes. Finalized trading strategies can be exported as MetaTrader 4 or NinjaTrader Expert Advisors, complete with full source code.
🔗 Find Out More: ► StrategyQuant Website
Compatible Trading Platforms
You can make the StrategyQuant strategies work with Metatrader4 and other platforms
(1) MetaTrader-4
(2) NinjaTrader
(3) TradeStation
System Requirements
The minimum system requirements to use the platform:
-Windows-based system (Vista and above)
-1.2 GHz processor with 512MB RAM and 500 MB HD free space
-For better results, the StrategyQuant team recommends an i5 or i7 processor
Manual Trading with StrategyQuant
You can also use StrategyQuant to generate trading ideas for manual trading. Every strategy created by StrategyQuant can be exported as readable pseudocode, complete with a full description of the trading rules, allowing you to trade manually.
♚ Building Automated Trading Strategies
These are the main features of StrategyQuant at a Glance:
(1) Build an unlimited number of trading strategies for trading any asset in any timeframe
(2) Find already-made strategies and customize them
(3) Optimize a great number of trade strategies and identify the best parameters for performance maximization
(4) Find and use tens of different indicators, StrategyQuant supports also Range/Renko bars
(5) Using all the possible combinations of indicators and orders, StrategyQuant can literally create trillions of different trading strategies
(6) Export your finalized strategies as a MetaTrader Expert Advisor or Ninja Trader strategy with full source code
Strategy Selection Criteria
StrategyQuant allows selecting the data for the computation of your strategy’s criteria. Here are some basic criteria when selecting trading strategies:
(a) Determine the Best Strategies
You can select/unselect from a predefined list of criteria, or you can build your own complex fitness function.
(b) Computing Automated Strategy’s Fitness
Selecting the strategy's fitness score from your main data or from your portfolio.
⚙️How StrategyQuant Really Works
StrategyQuant combines various building blocks—such as indicators, oscillators, and historical prices—to create new trading rules, ultimately generating a complete trading strategy. The resulting strategy can then be tested using different methods based on historical data.
One of StrategyQuant’s greatest strengths is its ability to perform random generation and genetic evolution.
Genetic Evolution
In Genetic Evolution mode, StrategyQuant applies genetic programming techniques to create an initial generation of random strategies, which are then “evolved” over successive generations to improve performance.
StrategyQuant Optimizer
The tool can optimize the main strategy’s parameters to their optimal values. The Optimizer can also be used for optimizing Walk-Forward and Walk-Forward Matrix analyses.
📈 Supported Indicators
StrategyQuant currently supports the following indicators:
■ Simple Moving Averages, Exponential Moving Averages, and Weighted Moving Average
■ Triple Exponential Moving Average
■ Commodity Channel Index (CCI)
■ Relative Strength Index (RSI)
■ Stochastic
■ MACD
■ Bollinger Bands
■ Qualitative Quantitative Estimation (QQE)
■ Average Directional Movement Index (ADX)
■ Average True Range (ATR)
■ Momentum
■ Williams %
■ Range and True Range
■ Keltner Channel
■ Parabolic SAR
■ Ichimoku Kinko Hyo
Notes:
(1) There are no real limits as you can use multi-symbol or multi-timeframe indicators
(2) You can use also every MetaTrader indicator in StrategyQuant too
📝 StrategyQuant Order Types
StrategyQuant currently supports the following order types:
-Enter at Market or Enter/Reverse at Market
-Stop Loss or Enter at Stop or Enter at Limit
-Exit After X Bars or Exit Rule (Price + Operators + Indicators, ...)
-Profit Target or move Stop Loss to Break-even
-Stop Trailing and Profit Trailing
🕒 Using Historical Data
StrategyQuant comes with four years of historical data for the major Forex pairs, but you can also import data via the MetaTrader platform. The platform includes:
-Data Manager
Manage history data and custom indicators
-History Data
Manage the history data that are used for backtesting (you can import or modify data)
🕰️ StrategyQuant Backtesting Engine
StrategyQuant allows choosing among different backtesting engines for testing your strategy:
-MetaTrader4
-NinjaTrader
-Tradestation
Monte Carlo Simulation
You can specify the number of simulations, the more tests the better the statistical significance of the results. The optimal value of tests is 10-100.
☑ Backtesting Options
(a) Population size
Population size refers to the number of different strategies in one generation (it should be between 100 - 1000 or even more)
(b) Max Number of Generations
Refers to the number of generations involved in the ‘evolution’ process
(c) Mutation Probability
Refers to the probability that a trading strategy will be mutated (5-15% normal values)
(d) Crossover Probability
Refers to the probability that a trading strategy is selected for crossover operation
💶 Money Management -Position Sizing
StrategyQuant offers three different money management options:
(1) Fixed Size
The strategy trades with a fixed number of lots (e.g., 0.5, 1, 2, or 5 lots). This setting is recommended for new strategy building as it provides a clear overview of performance.
(2) Fixed Amount
The strategy risks a fixed amount of money on every trade. This option is ideal for testing strategies where the stop loss is based on volatility (ATR).
(3) Risk Fixed % of Trader's Account
The strategy risks a set percentage (%) of your available equity on each trade. This is the most advanced money management technique and is highly recommended for real trading conditions.
♞ Selecting Among a Great Number of Available Strategies
This is a list of tests:
(1) Overall Profitability
Testing if the net profit result from optimization test exceeds the given value for profitability
(2) The consistency of Achieved Profitability
Checks the percentage of run-parts which are profitable compared to the minimum percentage
(3) Distribution (of Profits)
Measures the impact of every run to overall strategy profit
(4) Maximum Drawdown
Checks the maximum percentage drawdown, compared to the maximum percentage
(5) Minimum Trades
Checks if the minimum number of trades produced in every run is achieved
(6) Walk-Forward Efficiency
Measuring the efficiency of walk-forward testing. For example, if after optimization, the strategy earned $10K and run parts earned $5K then the Walk-Forward Efficiency is 50%
(7) Total Score
Set how many of the above criteria have to pass in order to proceed with the run process each strategy
🎯 StrategyQuant Review Conclusions
This is by far the most advanced platform for building automated trading strategies. It offers hundreds of tools and techniques that can be combined to create unique strategies for any financial market. What makes StrategyQuant truly special is its ability to generate and evaluate hundreds of different strategies simultaneously. The inclusion of randomness through modules like Monte Carlo, Walk-Forward, and Genetic Evolution makes the platform indispensable for any professional trader aiming to build a fully automated trading strategy that really works.
📌 StrategyQuant requires no programming skills and is highly compatible with MetaTrader, TradeStation, and NinjaTrader platforms.
🔗 Find Out More: ► StrategyQuant Free Trial
■ StrategyQuant Review
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